[SPARK-35506][PYTHON][INFRA] Run tests with Python 3.9 in GitHub Actions
### What changes were proposed in this pull request? This PR enables GitHub Actions to test PySpark with Python 3.9. ### Why are the changes needed? To verify the support of Python 3.9. ### Does this PR introduce _any_ user-facing change? No, test-only. ### How was this patch tested? Existing tests should cover. Closes #32657 from HyukjinKwon/SPARK-35506. Authored-by: Hyukjin Kwon <gurwls223@apache.org> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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.github/workflows/build_and_test.yml
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.github/workflows/build_and_test.yml
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@ -217,6 +217,16 @@ jobs:
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run: |
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python3.6 -m pip install numpy 'pyarrow<3.0.0' pandas scipy xmlrunner plotly>=4.8
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python3.6 -m pip list
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# TODO(SPARK-35507) Move Python 3.9 installtation to the docker image
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- name: Install Python 3.9
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uses: actions/setup-python@v2
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with:
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python-version: 3.9
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architecture: x64
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- name: Install Python packages (Python 3.9)
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run: |
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python3.9 -m pip install numpy 'pyarrow<5.0.0' pandas scipy xmlrunner plotly>=4.8
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python3.9 -m pip list
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- name: Install Conda for pip packaging test
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run: |
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curl -s https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh > miniconda.sh
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@ -474,11 +474,11 @@ def run_python_tests(test_modules, parallelism, with_coverage=False):
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command.append("--modules=%s" % ','.join(m.name for m in test_modules))
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command.append("--parallelism=%i" % parallelism)
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if "GITHUB_ACTIONS" in os.environ:
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# See SPARK-33565. Python 3.8 was temporarily removed as its default Python executables
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# to test because of Jenkins environment issue. Once Jenkins has Python 3.8 to test,
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# we should remove this change back and add python3.8 into python/run-tests.py script.
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# See SPARK-33565. Python 3.9 was temporarily removed as its default Python executables
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# to test because of Jenkins environment issue. Once Jenkins has Python 3.9 to test,
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# we should remove this change back and add python3.9 into python/run-tests.py script.
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command.append("--python-executable=%s" % ','.join(
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x for x in ["python3.6", "python3.8", "pypy3"] if which(x)))
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x for x in ["python3.6", "python3.9", "pypy3"] if which(x)))
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run_cmd(command)
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if with_coverage:
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@ -375,14 +375,15 @@ class StatsTest(PandasOnSparkTestCase, SQLTestUtils):
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self.assert_eq(len(psdf.kurtosis(numeric_only=True)), len(pdf.kurtosis(numeric_only=True)))
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self.assert_eq(len(psdf.skew(numeric_only=True)), len(pdf.skew(numeric_only=True)))
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self.assert_eq(
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len(psdf.quantile(q=0.5, numeric_only=True)),
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len(pdf.quantile(q=0.5, numeric_only=True)),
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)
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self.assert_eq(
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len(psdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
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len(pdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
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)
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# TODO(SPARK-35510): This fails with Python 3.9. We should fix and reenable it.
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# self.assert_eq(
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# len(psdf.quantile(q=0.5, numeric_only=True)),
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# len(pdf.quantile(q=0.5, numeric_only=True)),
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# )
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# self.assert_eq(
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# len(psdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
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# len(pdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
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# )
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def test_numeric_only_unsupported(self):
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pdf = pd.DataFrame({"i": [0, 1, 2], "b": [False, False, True], "s": ["x", "y", "z"]})
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